Contributed Talks
in
Workshop: Workshop on Multi-Task and Lifelong Reinforcement Learning
Contributed Talks
Abstract:
11:50 Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Standley, Amir R. Zamir, Dawn Chen, Leonidas Guibas, Jitendra Malik, Silvio Savarese 11:58 Finetuning Subpolicies for Hierarchical Reinforcement Learning Carlos Florensa, Alexander Li and Pieter Abbeel 12:06 Online Learning for Auxiliary Task Weighting for Reinforcement Learning Xingyu Lin, Harjatin Singh Baweja, George Kantor, David Held 12:14 Guided Meta-Policy Search Russell Mendonca, Abhishek Gupta, Rosen Kralev, Pieter Abbeel, Sergey Levine, Chelsea Finn
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